Optimal transport (OT) plays an essential role in various areas like machine learning and deep learning. However, computing discrete OT for large scale problems with adequate accuracy and efficiency ...
1 College of Science, North China University of Science and Technology, Tangshan, China. 2 Hebei Provincial Key Laboratory of Data Science and Applications, North China University of Science and ...
Abstract: The discrete filled function is an effective way to solve large-scale optimization problems, which has been widely used in various applications. In this paper, a new kind of discrete filled ...
Abstract: The Knapsack Problem (KP) is a renowned combinatorial optimization challenge, recognized for its NP-hard complexity. This characteristic renders large-scale KP instances resistant to ...
Discrete Mathematics is a subject that has gained prominence in recent times. Unlike regular Maths, where we deal with real numbers that vary continuously, Discrete Mathematics deals with logic that ...
1 School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China 2 School of Intelligent Systems and Engineering, Sun Yat-sen University, Shenzhen, China This study addresses the ...
This is a PyTorch implementation of SAC-Discrete[1]. I tried to make it easy for readers to understand the algorithm. Please let me know if you have any questions. If ...
If you are interested in the real-world applications of numbers, discrete mathematics may be the concentration for you. Because discrete mathematics is the language of computing, it complements the ...
This is a PyTorch implementation of SAC-Discrete[1]. I tried to make it easy for readers to understand the algorithm. Please let me know if you have any questions. If ...
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